Wearable Cardiovascular Data Validation Research
Budget: ₹750 – ₹1,250 INR
I’m looking for a seasoned researcher who can take the raw physiological data coming from our wearable and turn it into rigorously validated, clinically useful information. My immediate goal is to run a small-scale clinical trial paired with deep algorithm testing so we can confirm—and then improve—the accuracy of heart-rate, blood-pressure, respiratory-rate and broader adherence-related metrics.
You would help me design the study protocol, define gold-standard comparisons, supervise data collection, and iterate on the signal-processing / machine-learning code that powers our on-device analytics. A solid grasp of biostatistics, clinical research methods, and coding in Python, R or MATLAB will be essential, and familiarity with FDA or CE guidance for digital health products is a plus.
Deliverables I need from you:
• A clear validation plan ready for IRB submission
• Statistical analysis scripts and clean datasets
• A concise report highlighting accuracy, error sources, and practical algorithm improvements
If you have run similar trials or tuned wearable algorithms before, let’s discuss how quickly we can move from design to patient enrollment.
You would help me design the study protocol, define gold-standard comparisons, supervise data collection, and iterate on the signal-processing / machine-learning code that powers our on-device analytics. A solid grasp of biostatistics, clinical research methods, and coding in Python, R or MATLAB will be essential, and familiarity with FDA or CE guidance for digital health products is a plus.
Deliverables I need from you:
• A clear validation plan ready for IRB submission
• Statistical analysis scripts and clean datasets
• A concise report highlighting accuracy, error sources, and practical algorithm improvements
If you have run similar trials or tuned wearable algorithms before, let’s discuss how quickly we can move from design to patient enrollment.